Work

Enhanced Vein Detection Using NIR and RGB-D Imaging

Year: 2025

Type: conference-paper

Abstract: In this study, a robotic-based system for the venipuncture process was proposed. The system was composed of an RGB-D camera and an NIR camera mounted on the TCP end-effector of an industrial robot manipulator. By using the NIR camera and an IR light array, blood vessels near the skin surface, outside the visible light spectrum, were identified to determine an appropriate point for venipuncture. To enable the robot to utilize the vessel entry point, depth information from the RGB-D camera was aligned with the NIR image, providing depth data with an accuracy of up to 0.1 mm. The calibration procedures and vein detection methodology used in this study were thoroughly examined. The proposed system demonstrated that the vessel entry point could be identified with high precision using two cameras.

Source: International Conference on Intelligent Digitization of Systems and Services (IDSS)

DOI: 10.1109/idss67199.2025.11398171

Authors: Gullu Boztas, M. Furkan Calik, Omur Aydogmus

Institution: Fırat University

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funder: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Award: G153911899